Improving quality of fractal compressed images

Proceedings - International Conference on Machine Vision, ICMV 2007

Volumn , Issue , 2007, Pages 56-61

  Nadernejad, E ^a   Hassanpour, H ^a   Salarian, M ^a  

^a UNIVERSITY OF MAZANDARAN   (Iran)

Author keywords

Diffusion equations; Fractal coding; Quality image

Indexed keywords

COMPRESSION RATIO (MACHINERY); COMPUTER VISION; CONFORMAL MAPPING; DATA COMPRESSION; DIFFUSION; DIGITAL IMAGE STORAGE; FRACTALS; IMAGE COMPRESSION; IMAGE ENHANCEMENT; IMAGE QUALITY; LINEAR EQUATIONS; PROGRAMMING THEORY; SEMICONDUCTOR DOPING; STANDARDS;

BLOCKING EFFECTS; COMPRESSED IMAGING; COMPRESSION RATIOS; CONTRACTIVE MAPPING; DIFFUSION EQUATIONS; FRACTAL CODING; HIGH FREQUENCIES; IMAGE COMPRESSION TECHNIQUES; INTERNATIONAL CONFERENCES; MACHINE VISION; POST PROCESSORS; QUALITY IMAGE; QUALITY IMPROVEMENT; STANDARD IMAGES;

IMAGE CODING;

EID: 49649085281     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMV.2007.4469273     Document Type: Conference Paper

References (17)

1. M.Hassaballah,M.M.Makky and Y.B. Mahdy, "A Fast Fractal Image Compression Method Based entropy", Electronic Letters on computer Vision And Image Analysis 5(1):30-40,z2005
2. D. Saupe. "Lean Domain Pools for Fractal Image Compression." Proceedings IS&T/SPIE 1996 Symposium on Electronic Imaging: Science & Technology Still Image Compression II, Vol. 2669, Jane 1996
3. A. E. jacquin, " image coding based on a fractal theory of iterated contractive image transformations" IEEE Trans. Image Processing ,vol. 1, pp. 18-30,Jan. 1992.
4. E. W. Jacobs, Y.Fisher , and R. D. Boss, "Image compression :A study of iterated transform method, "IEEE trans. Signal Processing , vol. 40,pp.251-263,Mar.1992.
5. R. C. Gonzalez, Richard E.Woods, "Digital Image Processing" Prentice Hall, 2004.
6. I. K. Fodor and C.Kamath, "Denoising through wavelet shrinkage : A n empirical study ," Journal of Electronic Imaging, vol. 12, pp. 151-160, 2003.
7. Weickert, J., B. M. ter Haar Romeny, and M. Viergever, "Efficient and reliable schemes for nonlinear diffusion filtering," IEEE Trans. On Image Processing, vol. 7, pp. 398-410, 1998.
8. A. Zachor, "Iterative procedures for reduction of blocking effects in transform image coding", IEEE Trans. Circuits Syst. Video Technol. 2, pp. 91-95, Mar. 1992.
9. Y. Yang, N. Galatsanos, A. Katsaggelos, "Regularized recon-struction to reduce blocking artifacts of block discrete cosinetransform compressed images", IEEE Trans. Circuits Syst. Video Technol. 3, pp. 421-432, Dec. 1993.
10. Perona. P and Malik. J, "Scale-space and edge detection using anisotropic diffusion" IEEE Trans. On Pattern Analysis and Machine Intel. 12(7), pp. 629-639, 1990.
11. Perona. P and Malik. J, "Scale-space and edge detection using anisotropic diffusion,", IEEE Compute)-Society workshop on Computer Vision, pp. 16-27, 1987.
12. Weeratunga S.K., and C. Kamath, "A comparison of PDE-based non-linear anisotropic diffusion techniques for image denoising", SPIE Electronic Imaging, 2003.
13. Medicallnformation Finder, http: //www.netme-dicine.com., retrieved on October 2006.
14. R. C. Gonzalez, Richard E.Woods. Image Databases."http://www. imageprocessingplace.com/DIP/dip_image_databases ", retrieved on October 2006.
15. H. Hassanpour, E. Nademejad, and H. Miar "Image Enhancement Using Diffusion Equations", International Symposium on Signal Processing and its Applications (ISSPA 2007), Sharjah, UAE, 2007.
16. Z.Wang and A.C.Bovik, "A universal image quality index, " IEEE Signal Processing letters, vo.9,no.3,pp-81-84, 2002.
17. Y. Fisher. Fractal Image Compression: Theory and Applications. Springer-Verlag, New York, 1994.